
LLM Operations Specialist
2 weeks ago
We are seeking a seasoned professional to drive the successful deployment, scaling, and monitoring of large language models in production environments.
- Design and implement LLM Ops infrastructure for training, fine-tuning, and large-scale inference.
- Establish and enforce best practices for model deployment, monitoring, retraining, and continuous improvement.
- Implement security, compliance, and responsible AI guardrails to ensure safe and ethical LLM usage.
- Collaborate closely with data science, research, and product teams to streamline the LLM lifecycle.
- Develop and manage Ops automation pipelines for dataset updates, retraining, and model versioning.
- Evaluate and implement tools for cost optimization and performance tuning in large-scale environments.
- Provide technical leadership and mentor teams on LLMOps methodologies.
- Strong expertise in LLM deployment, scaling, and monitoring.
- Proficiency in MLOps frameworks (Kubeflow, MLflow, Databricks deployment patterns).
- Hands-on experience with cloud-native architectures (Azure preferred).
- Strong background in CI/CD pipelines, containerization (Docker, Kubernetes), and microservices.
- Solid understanding of observability tools (Prometheus, Grafana, OpenTelemetry).
- Deep knowledge of model evaluation, drift detection, prompt management, and AI safety guardrails.
- Programming expertise in Python and Bash scripting.
- Experience with vector databases and RAG pipelines.
- Strong leadership and stakeholder communication skills.
- Knowledge of LLM safety, bias mitigation, and regulatory compliance.
The ideal candidate will have the opportunity to work with cutting-edge technology, collaborate with talented professionals, and contribute to the development of innovative solutions. We offer a dynamic and supportive work environment that fosters growth and learning.
How to Apply:Candidates should submit their resumes and cover letters to [contact information].
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